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Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering

2013-11-26 Science
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Release : 2013-11-26
Genre : Science
Kind : eBook
Book Rating : 067/5 ( reviews)

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Book Synopsis Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering by : Shahab Araghinejad

Download or read book Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering written by Shahab Araghinejad. This book was released on 2013-11-26. Available in PDF, EPUB and Kindle. Book excerpt: “Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering” provides a systematic account of major concepts and methodologies for data-driven models and presents a unified framework that makes the subject more accessible to and applicable for researchers and practitioners. It integrates important theories and applications of data-driven models and uses them to deal with a wide range of problems in the field of water resources and environmental engineering such as hydrological forecasting, flood analysis, water quality monitoring, regionalizing climatic data, and general function approximation. The book presents the statistical-based models including basic statistical analysis, nonparametric and logistic regression methods, time series analysis and modeling, and support vector machines. It also deals with the analysis and modeling based on artificial intelligence techniques including static and dynamic neural networks, statistical neural networks, fuzzy inference systems, and fuzzy regression. The book also discusses hybrid models as well as multi-model data fusion to wrap up the covered models and techniques. The source files of relatively simple and advanced programs demonstrating how to use the models are presented together with practical advice on how to best apply them. The programs, which have been developed using the MATLAB® unified platform, can be found on extras.springer.com. The main audience of this book includes graduate students in water resources engineering, environmental engineering, agricultural engineering, and natural resources engineering. This book may be adapted for use as a senior undergraduate and graduate textbook by focusing on selected topics. Alternatively, it may also be used as a valuable resource book for practicing engineers, consulting engineers, scientists and others involved in water resources and environmental engineering.

Data-driven Modeling for Enhanced Management of Water Resources: Problems and Solutions

2006 Hydrologic models
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Release : 2006
Genre : Hydrologic models
Kind : eBook
Book Rating : 226/5 ( reviews)

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Book Synopsis Data-driven Modeling for Enhanced Management of Water Resources: Problems and Solutions by : M. Kashif Gill

Download or read book Data-driven Modeling for Enhanced Management of Water Resources: Problems and Solutions written by M. Kashif Gill. This book was released on 2006. Available in PDF, EPUB and Kindle. Book excerpt: Changing climatic conditions, global warming trends, global population increase, water-related conflicts, and water shortages have resulted in changes in the water cycle, and hydrologic processes which were once thought to be simple are now known to be highly nonlinear. This compels the development of more sophisticated tools for enhanced and intensive water resources management. Data-driven tools have gained in popularity in recent years and have spawned a plethora of applications in water resources. Despite enjoying tremendous success in small-scale studies, there are very few applications to field-scale problems so far because various issues must be understood in order to make data-driven tools more practical to hydrologic applications. In the current research, three problem areas in hydrologic modeling have been identified that limit the applicability of data-driven tools: parameter specification, missing or incomplete data, and data compatibility. Each of these is studied in the present research, and solutions are provided. A new multiobjective calibration procedure in the form of Multiobjective Particle Swarm Optimization (MOPSO) is developed and tested. A solution to the problem of missing data is found through local least square imputation methodology. Furthermore, a downscaling algorithm is developed for the scale reconciliation problem. These tools are examined in various applications such as soil moisture forecasting, streamflow estimation, groundwater level forecasting, and downscaling of remotely sensed soil moisture. The current research only focuses on data-driven tools, and hence all the problems are examined in this same context. At the same time, the tools that are developed might well be appropriate for other modeling applications. This research addresses significant problems in the use of data-driven modeling tools so that they can be more effectively used in water resources management and hydrologic science. The results from the research show that the techniques developed and demonstrated here are sound and can help to remove some of the limitations in the use of data-driven tools, making them more attractive for application in hydrologic sciences.

Computational Learning and Data-driven Modeling for Water Resources Management and Hydrology

2005 Hydrologic models
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Release : 2005
Genre : Hydrologic models
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Computational Learning and Data-driven Modeling for Water Resources Management and Hydrology by : Abedalrazq Fathy Khalil

Download or read book Computational Learning and Data-driven Modeling for Water Resources Management and Hydrology written by Abedalrazq Fathy Khalil. This book was released on 2005. Available in PDF, EPUB and Kindle. Book excerpt:

Handbook of Drought and Water Scarcity

2017-08-02 Science
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Release : 2017-08-02
Genre : Science
Kind : eBook
Book Rating : 222/5 ( reviews)

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Book Synopsis Handbook of Drought and Water Scarcity by : Saeid Eslamian

Download or read book Handbook of Drought and Water Scarcity written by Saeid Eslamian. This book was released on 2017-08-02. Available in PDF, EPUB and Kindle. Book excerpt: This volume include over 30 chapters, written by experts from around the world. It examines drought and all of the fundamental principles relating to drought and water scarcity. It includes coverage of the causes of drought, occurences, preparations, drought vulnerability assessments, societal implications, and more.

MATLAB® Recipes for Earth Sciences

2020-12-02 Science
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Release : 2020-12-02
Genre : Science
Kind : eBook
Book Rating : 411/5 ( reviews)

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Book Synopsis MATLAB® Recipes for Earth Sciences by : Martin H. Trauth

Download or read book MATLAB® Recipes for Earth Sciences written by Martin H. Trauth. This book was released on 2020-12-02. Available in PDF, EPUB and Kindle. Book excerpt: MATLAB® is used in a wide range of geoscientific applications, e.g. for image processing in remote sensing, for creating and processing digital elevation models, and for analyzing time series. This book introduces readers to MATLAB-based data analysis methods used in the geosciences, including basic statistics for univariate, bivariate and multivariate datasets, time-series analysis, signal processing, the analysis of spatial and directional data, and image analysis. The revised and updated Fifth Edition includes seven new sections, and the majority of the chapters have been rewritten and significantly expanded. New sections include error analysis, the problem of classical linear regression of log-transformed data, aligning stratigraphic sequences, the Normalized Difference Vegetation Index, Aitchison’s log-ratio transformation, graphical representation of spherical data, and statistics of spherical data. The book also includes numerous examples demonstrating how MATLAB can be used on datasets from the earth sciences. The supplementary electronic material (available online through SpringerLink) contains recipes that include all the MATLAB commands featured in the book and the sample data.

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